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Design of Semipersistent Resource Allocation in LTE-V Network

Yi-Ting Mai1,*, Chi-En Li2

1 Department of Sport Management, National Taiwan University of Sport, Taichung City, 40404, Taiwan
2 Department of Computer Science and Information Engineering, National Chi Nan University, Nantou County, 54561, Taiwan

* Corresponding Author: Yi-Ting Mai. Email: email

Computer Systems Science and Engineering 2023, 45(1), 131-147. https://doi.org/10.32604/csse.2023.027833

Abstract

Radio network access technology currently used in 4G/5G is Long Term Evolution-Advanced (LTE-A), which was developed by 3rd Generation Partnership Project (3GPP). Device-to-device (D2D) communication is a technology enabling direct communications among wireless devices without forwarding through an evolved Node B (eNB). Moreover, D2D transmission can support vehicles as a vehicle-to-vehicle (V2V) environment. It is possible to avoid accidents via exchanging movement-related information among vehicles and effectively increase driving safety (and efficiency). However, radio resources are limited in radio networks. A vehicle transmits through D2D in Long Term Evolution-Vehicle (LTE-V) mode-3 standard, and an eNB can allocate the same spectrum radio resources for cellular and V2V links simultaneously. When using the same radio resources, the probability of interference may increase. This study designed a semipersistent resource allocation algorithm based on different cycles in an LTE-V network. Moreover, resource allocation under different cycles was analyzed, and a scheme for resource selection is proposed based on cycle size. The proposed Semi Persistent Gain Aware Resource Allocation (SP-GARA) scheme selects resources based on the expected sum rate of the cycle size and analyzes and discusses the results of the total sum rate at different cycles and speeds for an improved performance.

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Cite This Article

Y. Mai and C. Li, "Design of semipersistent resource allocation in lte-v network," Computer Systems Science and Engineering, vol. 45, no.1, pp. 131–147, 2023. https://doi.org/10.32604/csse.2023.027833



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